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Implementation of Quantum Annealing: A Systematic Review
IEEE Access, 2022 Quantum annealing is a quantum computing approach widely used for optimization and probabilistic sampling problems. It is an alternative approach designed due to the limitations of gate-based quantum computing models.
L. P. Yulianti, Kridanto Surendro
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Lower Bounds on Quantum Annealing Times. [PDF]
Physical Review Letters, 2022 The adiabatic theorem provides sufficient conditions for the time needed to prepare a target ground state. While it is possible to prepare a target state much faster with more general quantum annealing protocols, rigorous results beyond the adiabatic ...
Luis Pedro Garc'ia-Pintos +3 more
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Thermodynamics of a quantum annealer [PDF]
Quantum Science and Technology, 2020 6 pages, 7 ...
Lorenzo Buffoni, Michele Campisi
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Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing [PDF]
Physical Review Applied, 2022 We propose a quantum annealing protocol that more effectively probes the dynamics of a single qubit on D-Wave's quantum annealing hardware. This protocol uses D-Wave's h-gain schedule functionality, which allows the rapid quenching of the longitudinal ...
Zachary Morrell +5 more
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Learning quantum annealing [PDF]
Quantum Information and Computation, 2017 We propose and develop a new procedure, whereby a quantum system can learn to anneal to a desired ground state. We demonstrate successful learning to produce an entangled state for a two-qubit system, then demonstrate generalizability to larger systems. The amount of additional learning necessary decreases as the size of the system increases.
Behrman, Elizabeth C. +2 more
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Convergence theorems for quantum annealing [PDF]
, 2006 We prove several theorems to give sufficient conditions for convergence of quantum annealing, which is a protocol to solve generic optimization problems by quantum dynamics.
Aarts E +14 more
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Solving flexible job shop scheduling problems in manufacturing with Quantum Annealing
Production Engineering, 2022 Quantum Annealing (QA) is a metaheuristic for solving optimization problems in a time-efficient manner. Therefore, quantum mechanical effects are used to compute and evaluate many possible solutions of an optimization problem simultaneously.
Philipp Schworm +3 more
semanticscholar +1 more source
Q-Match: Iterative Shape Matching via Quantum Annealing [PDF]
IEEE International Conference on Computer Vision, 2021 Finding shape correspondences can be formulated as an ${\mathcal{N}}{\mathcal{P}} - hard$ quadratic assignment problem (QAP) that becomes infeasible for shapes with high sampling density.
Marcel Seelbach Benkner +5 more
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Mapping state transition susceptibility in quantum annealing
Physical Review Research, 2023 Quantum annealing is a novel type of analog computation that aims to use quantum-mechanical fluctuations to search for optimal solutions for Ising problems.
Elijah Pelofske
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Colloquium: Quantum annealing and analog quantum computation [PDF]
Reviews of Modern Physics, 2008 The recent success in quantum annealing, i.e., optimization of the cost or energy functions of complex systems utilizing quantum fluctuations is reviewed here. The concept is introduced in successive steps through studying the mapping of such computationally hard problems to classical spin-glass problems, quantum spin-glass problems arising with the ...
Das, Arnab, Chakrabarti, Bikas K.
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